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Cloud Security Alliance CCSK Exam Syllabus Topics:

SectionObjectives
Topic 1: Application Security- Secure Application Development
  • 1. API Security
  • 2. Application Testing
  • 3. CI/CD Security
  • 4. Secure SDLC
Topic 2: Incident Response & Resilience- Incident Management
  • 1. Forensics
  • 2. Incident Response
  • 3. Resilience Planning
  • 4. Disaster Recovery
Topic 3: Organization Management- Operational Governance
  • 1. Third-Party Management
  • 2. Security Policies
  • 3. Business Continuity
Topic 4: Risk, Audit & Compliance- Compliance & Legal Requirements
  • 1. Privacy Requirements
  • 2. Regulatory Compliance
  • 3. Audit Management
  • 4. Risk Assessment
Topic 5: Security Monitoring- Monitoring & Analytics
  • 1. Threat Detection
  • 2. Logging and SIEM
  • 3. Security Analytics
  • 4. Cloud Telemetry
Topic 6: Cloud Workload Security- Workload Protection
  • 1. Workload Isolation
  • 2. Configuration Security
  • 3. DevSecOps
Topic 7: Data Security- Data Protection
  • 1. Data Loss Prevention
  • 2. Encryption
  • 3. Data Lifecycle
  • 4. Key Management
Topic 8: Infrastructure & Networking- Infrastructure Security
  • 1. Virtualization Security
  • 2. Container Security
  • 3. Serverless Security
  • 4. Network Security
Topic 9: Identity & Access Management- IAM Security
  • 1. Authorization
  • 2. Federated Identity
  • 3. Authentication
  • 4. Privileged Access Management
Topic 10: Cloud Governance- Governance & Risk Management
  • 1. STAR Registry
  • 2. Policies and Compliance
  • 3. Enterprise Risk Management
  • 4. Cloud Controls Matrix
Topic 11: Cloud Computing Concepts & Architectures- Cloud Computing Fundamentals
  • 1. Shared Responsibility Model
  • 2. Cloud Architecture
  • 3. Service Models
  • 4. Deployment Models
Topic 12: Related Technologies & Strategies- Emerging Technologies
  • 1. Emerging Cloud Technologies
  • 2. Zero Trust
  • 3. Security Automation
  • 4. Artificial Intelligence Security

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Cloud Security Alliance Certificate of Cloud Security Knowledge v5 (CCSKv5.0) Sample Questions (Q324-Q329):

NEW QUESTION # 324
How does artificial intelligence pose both opportunities and risks in cloud security?

Answer: D

Explanation:
While AI improves threat detection, it also introduces risks as attackers can use it to develop advanced attack methods. Organizations must balance these risks.


NEW QUESTION # 325
Which aspect of cybersecurity can AI enhance by reducing false positive alerts?

Answer: D

Explanation:
AI can enhance anomaly detection in cybersecurity by analyzing large volumes of data and identifying patterns that deviate from normal behavior. By using machine learning algorithms, AI can improve the accuracy of anomaly detection, reducing false positive alerts. This helps security teams focus on genuine threats while minimizing distractions from irrelevant alerts.


NEW QUESTION # 326
Which of the following is a perceived advantage or disadvantage of managing enterprise risk for cloud deployments?

Answer: A

Explanation:
Explanation/Reference:


NEW QUESTION # 327
When a cloud customer uploads PII to a cloud provider. who becomes ultimately responsible for the security of that PII?

Answer: A

Explanation:
Under current law, the data owner is responsible for any breaches that result in unauthorized disclosure of PII; this includes breaches caused by contracted parties and outsources services. The data owner is the cloud customer.


NEW QUESTION # 328
Under many data protection regulations (e.g., GDPR), what is the role of a "data processor" versus a "data controller"?

Answer: B

Explanation:
A data controller determines the purposes and means of processing personal data, while a data processor processes that data on behalf of, and under the instructions of, the controller.


NEW QUESTION # 329
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